Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2405.10632.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:30:33.138738Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 26a1c133-a279-44d1-8a88-18b1768f4479 · inbound
Dimensions of Generative AI Evaluation Design Towards interactive evaluations for interaction harms in human-AI systems
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9b062df-f134-45f0-b506-8513da74d457 · inbound
Declare and Justify: Explicit assumptions in AI evaluations are necessary for effective regulation Towards interactive evaluations for interaction harms in human-AI systems
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62052490-b15b-4983-a71a-66a4e9386d07 · inbound
LearnLM: Improving Gemini for Learning Towards interactive evaluations for interaction harms in human-AI systems
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab99810a-6080-4aa0-8dd8-cc90f9338cbb · inbound
Why human-AI relationships need socioaffective alignment Towards interactive evaluations for interaction harms in human-AI systems
Reference 62
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9fd3416-2d6c-4f57-abf6-faddc7eb8144 · inbound
Aspirational Affordances of AI Towards interactive evaluations for interaction harms in human-AI systems
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1db5c5fa-f7be-4745-9627-5762ffc1a87d · inbound
Real-World Gaps in AI Governance Research Towards interactive evaluations for interaction harms in human-AI systems
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4909ea3f-0abe-4c32-a650-9a78a0ed4c33 · inbound
The AI Gap: How Socioeconomic Status Affects Language Technology Interactions Towards interactive evaluations for interaction harms in human-AI systems
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e5a9e07-e953-4034-b09b-8b914295f628 · inbound
Benchmarking Misuse Mitigation Against Covert Adversaries Towards interactive evaluations for interaction harms in human-AI systems
Reference 70
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 099095ce-d0ee-4835-ab59-06ea1161a122 · inbound
ArGen: Auto-Regulation of Generative AI via GRPO and Policy-as-Code Towards interactive evaluations for interaction harms in human-AI systems
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6934b0f4-869b-4346-957b-c4bc5fdd6fcf · inbound
Measuring and mitigating overreliance to build human-compatible AI Towards interactive evaluations for interaction harms in human-AI systems
Reference 64
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 634a7496-4a61-4b54-9ae7-01197c2b8530 · inbound
Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild Towards interactive evaluations for interaction harms in human-AI systems
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 72a98040-170a-46df-a465-8db5b3995788 · inbound
Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles Towards interactive evaluations for interaction harms in human-AI systems
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.